code: def l2_normalize(
      x: torch.Tensor,
      /,
      *,
      axis: Optional[int] = None,
      out: Optional[torch.Tensor] = None,
  ) -> torch.Tensor:
      return torch.nn.functional.normalize(x, p=2, dim=axis, out=out)
  
file_path: ivy/ivy/functional/backends/torch/experimental/norms.py
imports: import torch
  from typing import Literal, Optional, Tuple
  from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes
  from ..None import backend_version
label_desc: Use image node_id 2 for calling a global function with example usage: l2_normalize() and returns: torch